Hey there! I’ve been down this road before, and honestly, z-scores are your best bet for normalizing data to a 3 sigma model. But here’s a tip: always visualize your data before and after scaling. Use a histogram or a boxplot to make sure the distribution isn’t getting messed up.
If you’re into tools, I’d recommend Jupyter Notebooks with Python. You can use libraries like `pandas` and `numpy` to handle the calculations. And don’t forget to check for outliers—they can really throw off your results.
If you’re into tools, I’d recommend Jupyter Notebooks with Python. You can use libraries like `pandas` and `numpy` to handle the calculations. And don’t forget to check for outliers—they can really throw off your results.